Find out what your peers are saying about Palantir, Informatica, Denodo and others in Data Management Platforms (DMP).
| Product | Market Share (%) |
|---|---|
| Cloudera Data Platform | 8.6% |
| Palantir Foundry | 14.5% |
| Informatica Intelligent Data Management Cloud (IDMC) | 9.7% |
| Other | 67.2% |
| Product | Market Share (%) |
|---|---|
| Cloudera Distribution for Hadoop | 14.0% |
| HPE Data Fabric | 14.3% |
| Apache Spark | 13.4% |
| Other | 58.3% |
| Product | Market Share (%) |
|---|---|
| Datameer | 10.3% |
| JethroData | 19.5% |
| AtScale Adaptive Analytics (A3) | 18.5% |
| Other | 51.7% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 9 |
| Large Enterprise | 31 |
Cloudera Data Platform offers a powerful fusion of Hadoop technology and user-centric tools, enabling seamless scalability and open-source flexibility. It supports large-scale data operations with tools like Ranger and Cloudera Data Science Workbench, offering efficient cluster management and containerization capabilities.
Designed to support extensive data needs, Cloudera Data Platform encompasses a comprehensive Hadoop stack, which includes HDFS, Hive, and Spark. Its integration with Ambari provides user-friendliness in management and configuration. Despite its strengths in scalability and security, Cloudera Data Platform requires enhancements in multi-tenant implementation, governance, and UI, while attribute-level encryption and better HDFS namenode support are also needed. Stability, especially regarding the Hue UI, financial costs, and disaster recovery are notable challenges. Additionally, integration with cloud storage and deployment methods could be more intuitive to enhance user experience, along with more effective support and community engagement.
What are the key features?Cloudera Data Platform is implemented extensively across industries like hospitality for data science activities, including managing historical data. Its adaptability extends to operational analytics for sectors like oil & gas, finance, and healthcare, often enhanced by Hortonworks Data Platform for data ingestion and analytics tasks.
